The Tennessee Eastman chemical process is a well-defined simulation of a chemical process that has been commonly used in process control research. As chemical process plants are getting more complex, the pressure on chemical engineers to develop accurate models for monitoring and control purposes is increased. In this paper, we explore the idea of using Genetic Programming (GP) technique to mod...

Based on integrated system optimisation and parameter estimation a method is described for on-line steady state optimisation which compensates for model-plant mismatch and solves a non-linear optimisation problem by iterating on a linear quadratic representation. The method requires real process derivatives which are estimated using a dynamic identification technique. The utility of the method ...

This paper presents a large-scale application of a new approach to simultaneously design and control chemical processes that does not require dynamic programming and a priori assumptions of the disturbance dynamics. The process closed-loop behavior is represented as a state space uncertain model. The robust models are then used to calculate infinite-time horizon bounds on the process stability,...

A distributed hybrid strategy is outlined for the isolation of faults and disturbances in the Tennessee Eastman Process, which would build on existing structures for distributed control systems, so should be easy to implement, be cheap and be widely applicable. The main emphasis in the paper is on one component of the strategy, a steady state based approach. Results obtained by applying this ap...